Jeroen de Ridder

6.4k citations

77 papers · 2.6k indexed · 2 hit papers · h-index 25

Cancer Research top 5%
- Cancer Genomics and Diagnostics 16
Molecular Biology top 5%
- Gene expression and cancer classification 18
- Genomics and Phylogenetic Studies 16
- Genomics and Chromatin Dynamics 16
- CRISPR and Genetic Engineering 9
- Bioinformatics and Genomic Networks 9
- Epigenetics and DNA Methylation 7
- Molecular Biology Techniques and Applications 6
Health Informatics top 5%
Genetics top 5%
Hematology top 10%

Co-authors: Wigard P. Kloosterman Franka J. Rang Lodewyk F.A. Wessels Marcel Reinders Maarten van Lohuizen Anton Berns Anthony G. Uren Johann de Jong
Cited by: Cancer Research Molecular Biology Health Informatics
Journals: Nature (1 paper)Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)
Partner nations: Netherlands United States United Kingdom

In The Last Decade

Jeroen de Ridder

73 papers receiving 2.6k citations

Hit Papers

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Peers

Countries citing papers authored by Jeroen de Ridder

Since Specialization

Citations

This map shows the geographic impact of Jeroen de Ridder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeroen de Ridder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeroen de Ridder more than expected).

Fields of papers citing papers by Jeroen de Ridder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeroen de Ridder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeroen de Ridder. The network helps show where Jeroen de Ridder may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jeroen de Ridder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeroen de Ridder Line = papers co-authored together Jeroen de Ridder links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling Genome Research ·Li‐Ting Chen,Myrthe Jager,Dàmi Rebergen,Geertruid J. Brink,Tom van den Ende,Willem Vanderlinden,Pauline J. Kolbeck,Marc Pagès-Gallego,Ymke van der Pol,Nicolle Besselink,Norbert Moldován,Nizar Hami,Wigard P. Kloosterman,Hanneke W. M. van Laarhoven,Florent Moulière,Ronald P. Zweemer,Jan Lipfert,Sarah Derks,Alessio Marcozzi,Jeroen de Ridder	2025	3
2	Direct detection of 8-oxo-dG using nanopore sequencing Nature Communications ·Marc Pagès-Gallego,Daan M. K. van Soest,Nicolle Besselink,Roy Straver,Janneke P. Keijer,Carlo Vermeulen,Alessio Marcozzi,Markus J. van Roosmalen,Ruben van Boxtel,Boudewijn Burgering,Tobias B. Dansen,Jeroen de Ridder	2025	2
3	Synthesis and functional screening of novel inhibitors targeting the HDAC6 zinc finger ubiquitin-binding domain European Journal of Medicinal Chemistry ·Silke Geurs,Eleni Staessens,Kato Bredael,Stefaan Borghgraef,Jeroen de Ridder,Leentje Persoons,Steven De Jonghe,Dominique Schols,Mandeep Mann,Rachel Harding,Jorick Franceus,Tom Desmet,Kristof Van Hecke,Dorien Clarisse,Karolien De Bosscher,Matthias D’hooghe	2024	1
4	Ultra-fast deep-learned CNS tumour classification during surgerybreakdown → Nature ·Carlo Vermeulen,Marc Pagès-Gallego,Lennart Kester,Mariëtte E.G. Kranendonk,Pieter Wesseling,Niels Verburg,Philip C. De Witt Hamer,E. J. Kooi,L. Dankmeijer,Jasper van der Lugt,Kirsten van Baarsen,Eelco W. Hoving,Bastiaan B.J. Tops,Jeroen de Ridder	2023	96
5	Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling Genome biology ·Marc Pagès-Gallego,Jeroen de Ridder	2023	37
6	Predicting response to enzalutamide and abiraterone in metastatic prostate cancer using whole-omics machine learning Nature Communications ·Anouk C. de Jong,Alexandra Danyi,Job van Riet,Ronald de Wit,Martin Sjöström,Felix Y. Feng,Jeroen de Ridder,Martijn P. Lolkema	2023	10
7	Multi-country metabolic signature discovery for chicken health classification Metabolomics ·Joanna C. Wolthuis,Stefanía Magnúsdóttir,Edwin C.A. Stigter,Yuen Fung Tang,Judith Jans,M.S. Gilbert,Bart van der Hee,Pim Langhout,W.J.J. Gerrits,Arie K. Kies,Jeroen de Ridder,Saskia W. C. van Mil	2023	5
8	Echtvar: compressed variant representation for rapid annotation and filtering of SNPs and indels Nucleic Acids Research ·Brent S. Pedersen,Jeroen de Ridder	2022	1
9	PolarMorphism enables discovery of shared genetic variants across multiple traits from GWAS summary statistics Bioinformatics ·Joanna von Berg,Michelle ten Dam,Sander W. van der Laan,Jeroen de Ridder	2022	7
10	Allele-specific expression of GATA2 due to epigenetic dysregulation in CEBPA double-mutant AML Blood ·Roger Mulet‐Lazaro,Stanley van Herk,Claudia Erpelinck-Verschueren,Eric M. Bindels,Mathijs A. Sanders,Carlo Vermeulen,Ivo Renkens,Peter J.M. Valk,Ari Melnick,Jeroen de Ridder,Michael Rehli,Claudia Gebhard,Ruud Delwel,Bas J. Wouters	2021	13
11	Gene Networks Constructed Through Simulated Treatment Learning can Predict Proteasome Inhibitor Benefit in Multiple Myeloma Clinical Cancer Research ·Joske Ubels,Pieter Sonneveld,Martin H. van Vliet,Jeroen de Ridder	2020	7
12	Multi-contact 4C: long-molecule sequencing of complex proximity ligation products to uncover local cooperative and competitive chromatin topologies Nature Protocols ·Carlo Vermeulen,Amin Allahyar,Britta A. M. Bouwman,Peter H.L. Krijger,Marjon J.A.M. Verstegen,Geert Geeven,Christian Valdes‐Quezada,Ivo Renkens,Roy Straver,Wigard P. Kloosterman,Jeroen de Ridder,Wouter de Laat	2020	30
13	MetaboShiny: interactive analysis and metabolite annotation of mass spectrometry-based metabolomics data Metabolomics ·Joanna C. Wolthuis,Stefanía Magnúsdóttir,Mia L. Pras‐Raves,Maryam Moshiri,Judith Jans,Boudewijn Burgering,Saskia W. C. van Mil,Jeroen de Ridder	2020	16
14	Predicting treatment benefit in multiple myeloma through simulation of alternative treatment effects Nature Communications ·Joske Ubels,Pieter Sonneveld,Erik H. van Beers,Annemiek Broijl,Martin H. van Vliet,Jeroen de Ridder	2018	19
15	Mapping and phasing of structural variation in patient genomes using nanopore sequencing Nature Communications ·Mircea Cretu Stancu,Markus J. van Roosmalen,Ivo Renkens,Marleen M. Nieboer,Sjors Middelkamp,Joep de Ligt,Giulia Pregno,Daniela Giachino,Giorgia Mandrile,Jose Espejo Valle-Inclán,Jerome Korzelius,Ewart de Bruijn,Edwin Cuppen,Michael E. Talkowski,Tobias Marschall,Jeroen de Ridder,Wigard P. Kloosterman	2017	249
16	Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse Cortex PLoS Computational Biology ·Sepideh Babaei,Ahmed Mahfouz,Marc Hulsman,Boudewijn P. F. Lelieveldt,Jeroen de Ridder,Marcel Reinders	2015	31
17	3D hotspots of recurrent retroviral insertions reveal long-range interactions with cancer genes Nature Communications ·Sepideh Babaei,Waseem Akhtar,Johann de Jong,Marcel Reinders,Jeroen de Ridder	2015	25
18	Chromatin Position Effects Assayed by Thousands of Reporters Integrated in Parallel Cell ·Waseem Akhtar,Johann de Jong,Alexey V. Pindyurin,Ludo Pagie,Wouter Meuleman,Jeroen de Ridder,Anton Berns,Lodewyk F.A. Wessels,Maarten van Lohuizen,Bas van Steensel	2013	235
19	Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach Cancer Research ·Jenny Mattison,Jaap Kool,Anthony G. Uren,Jeroen de Ridder,Lodewyk F.A. Wessels,Jos Jonkers,Graham R. Bignell,Adam P. Butler,Alistair G. Rust,Mario Brosch,Catherine H. Wilson,Louise van der Weyden,David A. Largaespada,Michael R. Stratton,P. Andy Futreal,Maarten van Lohuizen,Anton Berns,Lara S. Collier,Tim Hubbard,David J. Adams	2010	34
20	Insertional Mutagenesis in Mice Deficient for p15Ink4b, p16Ink4a, p21Cip1 , and p27Kip1 Reveals Cancer Gene Interactions and Correlations with Tumor Phenotypes Cancer Research ·Jaap Kool,Anthony G. Uren,Carla P. Martins,Daoud Sie,Jeroen de Ridder,Geoffrey Turner,Miranda van Uitert,Konstantin Matentzoglu,Wendy Lagcher,Paul Krimpenfort,Jules Gadiot,Colin E.J. Pritchard,Jack Lenz,Anders H. Lund,Jos Jonkers,Jane Rogers,David J. Adams,Lodewyk F.A. Wessels,Anton Berns,Maarten van Lohuizen	2010	25

About Jeroen de Ridder

Jeroen de Ridder is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 77 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), Genomics and Phylogenetic Studies (16 papers), Cancer Genomics and Diagnostics (16 papers), Genomics and Chromatin Dynamics (16 papers), CRISPR and Genetic Engineering (9 papers), Bioinformatics and Genomic Networks (9 papers), Epigenetics and DNA Methylation (7 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Cancer Research (438 citations), Molecular Biology (1.9k citations) and Health Informatics (25 citations). Jeroen de Ridder has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Wigard P. Kloosterman, Franka J. Rang, Lodewyk F.A. Wessels, Marcel Reinders, Maarten van Lohuizen, Anton Berns, Anthony G. Uren, Johann de Jong, Waseem Akhtar and Jaap Kool. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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